Second cycle degree in

Computer Science

Class: LM-18 - Computer science

Logo QS
Class LM-18 - Computer science
Duration 2 years
Branch Padova
Language English
Tuition fees and scholarships
Programme coordinator PAOLO BALDAN
Access Open access with admission requirements

Next Calls for applications (international students) - A.Y. 2021/22:

  • 1st Call: 2 November 2020-2 February 2021
  • 2nd Call: 2 March-2 June 2021(non-EU)/2 September (EU) - APPLY NOW

A course that expands the basics of computer science learned during the three-year study course , giving you in-depth knowledge, especially in the most innovative areas of the subject, and a high professional skills needed in ever-growing and challenging sectors of the job market and research. You will follow lessons related to: computability and advanced algorithms, programming paradigms, formal methods of specification and analysis, advanced logic, cryptography and security, concurrent, distributed, real-time, hypermedia, wireless systems, advanced web technologies, open technologies. source, artificial intelligence, machine learning, combinatorial optimization, data mining, bioinformatics. You can dedicate yourself, with managerial and supervisory tasks, to development and research projects in companies, both public and private, with high technological potential.

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Characteristics and objectives
The master program strengthens and deepens the cultural background in the fundamental areas of computer science, introduces the most recent and advanced fields of computer science, and provides the basic skills to work in foundational and applied research projects in computational disciplines. This program includes classes in variety of subjects: computability, advanced algorithms, modern programming paradigms, mobile programming and multimedia systems, formal methods of programming languages, computer and network security, concurrent, distributed and real-time systems, wireless networks, advanced web technologies, artifical intelligence, machine learning, cognitive services, data mining, bioinformatics, game theory, combinatorial optimization, type theory.

Occupational opportunities
Master graduates typically assume managing and leading roles in ICT organizations and may contribute and lead R&D ICT projects in public organizations and private companies. The growth of the ICT job market continues to be very positive, hence the outlook is very promising. The master degree allows to apply to the admission competitions for the PhD programs in Computer Science or related disciplines.

  Teaching list

Training

I Year ECONOMICS AND MANAGEMENT OF INNOVATION [CFU 6] ENGLISH LANGUAGE B2 (PRODUCTIVE SKILLS) [CFU 3] ADVANCED ALGORITHMS [CFU 6] COMPUTABILITY [CFU 6] STRUCTURAL BIOINFORMATICS [CFU 6] BIOINFORMATICS [CFU 6] GAME THEORY [CFU 6] TYPE THEORY [CFU 6] CRYPTOGRAPHY [CFU 6] MATHEMATICAL MODELS AND NUMERICAL METHODS FOR BIG DATA [CFU 6] METHODS AND MODELS FOR COMBINATORIAL OPTIMIZATION [CFU 6] DATA MINING [CFU 6] MACHINE LEARNING [CFU 6] ADVANCED TOPICS IN COMPUTER SCIENCE [CFU 6] ARTIFICIAL INTELLIGENCE [CFU 6] ADVANCED TOPICS IN PROGRAMMING LANGUAGES [CFU 6] BIG DATA COMPUTING [CFU 6] ADVANCED TOPICS IN COMPUTER AND NETWORK SECURITY [CFU 6] DEEP LEARNING [CFU 6] FORMAL METHODS FOR CYBER-PHYSICAL SYSTEMS [CFU 6] FUNCTIONAL LANGUAGES [CFU 6] IT SERVICE MANAGEMENT [CFU 6] KNOWLEDGE REPRESENTATION AND LEARNING [CFU 6] LANGUAGES FOR CONCURRENCY AND DISTRIBUTION [CFU 6] MOBILE AND IOT SECURITY [CFU 6] MOBILE PROGRAMMING AND MULTIMEDIA [CFU 6] PROCESS MINING [CFU 6] REAL-TIME KERNELS AND SYSTEMS [CFU 6] RUNTIMES FOR CONCURRENCY AND DISTRIBUTION [CFU 6] SOFTWARE VERIFICATION [CFU 6] START-UP IN ICT [CFU 6] VISION AND COGNITIVE SYSTEMS [CFU 6] WEB INFORMATION MANAGEMENT [CFU 6] WIRELESS NETWORKS FOR MOBILE APPLICATIONS [CFU 6]